We can help match you with a driver and vehicle if you are testing systems, especially sensors.

Competition

We will be running timing and scoring for best autonomous laps the full-sized 2.1 mile track. Any vehicle that can make the two mile lap is welcome to attempt. Awards will be given for top performers in each class, with competition classes (e.g. "full-sized vehicle", "gas-powered go-kart", "teleoperated", etc.) to be determined as the event unfolds.

If you are interested in sponsoring a challenge, please contact us at contact@selfracingcars.com.

Data

As with our last events, we will be sharing data collected with various sensors and systems. Developers building on your systems will be able to see what the output looks like in a real-world yet controlled situation.

At our recent event at Thunderhill, a number of teams made valiant attempts to get around the track. This time, three teams succeeded - and were much faster than last year's times!

First up is swerve.ai's 2:06 lap. We knew they would be quick, with team heritage from both Audi's autonomous racecar technology as well as RoboRace. Their technology is more about the future of traction control and ride safety at high performance.

Just behind is comma.ai's lap at 2:07. Their platform is more computer vision-centric and also turns in a great lap. Also of interest is how their platform's data visualization is integrated into the viewer. You can view the lap here.

Finally, AutonomouStuff also turned in a 3:41. AutonomouStuff focuses on the hardware side of things so that the software folks can quickly get going, so this is a very impressive result!

Want to be added to this list? Drop us a line at contact@selfracingcars.com!

Competition

We will be running timing and scoring for best autonomous laps the full-sized 2.1 mile track. Any vehicle that can make the two mile lap is welcome to attempt. Awards will be given for top performers in each class, with competition classes (e.g. "full-sized vehicle", "gas-powered go-kart", "teleoperated", etc.) to be determined as the event unfolds.

If you are interested in sponsoring a challenge, please contact us at contact@selfracingcars.com.

Data

As with our last events, we will be sharing data collected with various sensors and systems. Developers building on your systems will be able to see what the output looks like in a real-world yet controlled situation.

VectorAI has released a full dataset from their runs on the track. It includes LIDAR, Accelerometer, GPS, and so on, in the rosbag format.

The rosbag dataset contains 13 rostopic messages. The most important topics are /camera/image_color for camera data, /fix for the GPS, /imu/data for the Xsens IMU data and /velodyne_points /velodyne_packets for VLP-16 LiDAR Point Cloud data.

Swift Navigation has published a dataset of their laps around the track captured with their new Piksi Multi GNSS hardware. They grabbed the inner, outer, and centerline of the track and referenced it more expensive gear. The documentation and files are available here.

As always, we will migrate links or copies of datasets to data.selfracingcars.com so that people who are interested in working with the data can build their own projects.

This data contains the system logs for Point One Navigation’s autonomous vehicle that won the Self Racing Cars event in April 2017.

The log files are simple CSV with commanded and actual actuation data as well as position, velocity and heading solutions and subsampled raw inertial data. Images are also available for Saturday’s run.

RightHook is making a community version of their cloud-based simulator available to Self Racing Cars teams! Each team has access to the simulator for 40 hours to win one or more of the four challenges around the Thunderhill West track. To help get everyone started, they are providing an example controller and ten laps of training data. Sign up to get access.

Announcing our next Event, April 1-2, 2017

Following the success of the inaugural event last year, Self Racing Cars returns with a new track day designed to push autonomous cars towards true race-ready shape. We're expecting more cars, higher speeds, and some very clever engineering. We will be running a testing and competition event at Thunderhill West on April 1-2, 2017

Testing and Demoing

Please apply to attend if you have any of the following things to test or demo:

Autonomous vehicles

Drivetrain innovation (electric or otherwise)

Sensors

Cameras

Software and Algorithms

Teleoperation

Connected Cars (v2v or v2i)

Independent and hobbyist teams are especially welcome. Smaller vehicles and robots can be tested and demoed in the paddock.

We can help match you with a driver and vehicle if you are testing systems, especially sensors.

Competition

We will be running timing and scoring for best autonomous laps the full-sized 2.1 mile track. Any vehicle that can make the two mile lap is welcome to attempt. Awards will be given for top performers in each class, with competition classes (e.g. "full-sized vehicle", "gas-powered go-kart", "teleoperated", etc.) to be determined as the event unfolds.

Udacity will be competing and sponsoring a prize for “fastest full track by an independent or small company team” and “fastest 1/10th scale lap". More details are available!

If you are interested in sponsoring a challenge, please contact us at contact@selfracingcars.com.

We are currently working on simple vehicle build based on a CIK competition go-kart so that there is a starting point for a future competition class. We are also working on a simple radio flags system. Both of these will be documented as they develop.

Data

As with our last event, we will be sharing data collected with various sensors and systems. Developers building on your systems will be able to see what the output looks like in a real-world yet controlled situation.

Smaller Courses for Smaller Vehicles

Chris Anderson of DIYRobocars will be running two courses for smaller autonomous cars (1/10th scale and 1/16th scale), which can use cameras, GPS, LIDAR and other sensors to navigate the course. The larger track for 1/10th scale cars will have white lines and obstacles. The smaller track for 1/16th scale will be marked with RGB tape lanes. DIYRobocars also runs a monthly hack and test in Oakland, CA.

Fairchild Semiconductor and Xsens have shared the datasets captured on their MEMS Attitude Heading Reference Systems (AHRS) and GNSS/INS systems. The files include measurements from the Fairchild FIS1100 6 Degree of Freedom (DoF) IMU, the Fairchild FMT-1030 AHRS, the Xsens MTi-3 AHRS, and the Xsens MTi-G-710 GNSS/INS. The files from the event can all be read in the MT Manager software, available as part of the MT Software Suite, available here.

We're happy to announce the release of the PolySync dataset from our first event. This dataset represents an entire session at Thunderhill Raceway, as captured by our research vehicle using multiple LiDAR, GPS, video, MobilEye, radar, and ultrasonic sensors.

Swift Navigation has published documentation and a dataset of high resolution GPS data collected at our last event at Thunderhill West. Developers interested in using the Piksi in their designs can see what the racetrack would look like. We also have published a copy of the data at data.selfracingcars.com.

In order to make it easier for people to build autonomous vehicles for this event in the future, we will be publishing datasets captured from various sensors on the cars and near the track at data.selfracingcars.com.

We're running a testing weekend for groups interested in autonomous vehicles and related technologies on May 28th and 29th at Thunderhill Raceway. We intend to extend this out to several events, and eventually add autonomous racing to the events.